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Book Categories |
1 | Introduction | 1 |
2 | Binary textures | 11 |
2.1 | Shape grammars | 13 |
2.2 | Boolean models | 23 |
2.3 | Mathematical morphology | 54 |
3 | Stationary grey texture images | 81 |
3.1 | Image binarisation | 83 |
3.2 | Grey scale mathematical morphology | 90 |
3.3 | Fractals | 105 |
3.4 | Markov random fields | 168 |
3.5 | Gibbs distributions | 198 |
3.6 | The autocorrelation function as a texture descriptor | 246 |
3.7 | Texture features from the Fourier transform | 260 |
3.8 | Co-occurrence matrices | 275 |
4 | Non-stationary grey texture images | 297 |
4.1 | The uncertainty principle and its implications in signal and image processing | 298 |
4.2 | Gabor functions | 329 |
4.3 | Prolate spheroidal sequence functions | 380 |
4.4 | Wavelets | 436 |
4.5 | Where image processing and pattern recognition meet | 521 |
4.6 | Laws' masks and the "what looks like where" space | 539 |
4.7 | Local binary patterns | 574 |
4.8 | The Wigner distribution | 583 |
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Add Image Processing (Texture), Self-contained text covering practical image processing methods and theory for image texture analysis. Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, me, Image Processing (Texture) to the inventory that you are selling on WonderClubX
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Add Image Processing (Texture), Self-contained text covering practical image processing methods and theory for image texture analysis. Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, me, Image Processing (Texture) to your collection on WonderClub |